Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
git clone --depth 1 https://github.com/selftune-dev/selftuneWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/selftune-dev/selftune/evolution-reviewer)<a href="https://agentmods.dev/agents/selftune-dev/selftune/evolution-reviewer"><img src="https://agentmods.dev/badge/agents/selftune-dev/selftune/evolution-reviewer/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/selftune-dev/selftune/evolution-reviewer"><img src="https://agentmods.dev/badge/agents/selftune-dev/selftune/evolution-reviewer.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00054 | $0.01049 |
| Opus 5.5 | $0.00022 | $0.00420 |
| Sonnet 5.5 | $0.00011 | $0.00210 |
| Haiku 4.5 | $0.00005 | $0.00105 |
Grade A, and why
evolution-reviewer scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 164 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Evolution Reviewer
Read-only safety reviewer for selftune proposals.
If this file is used as a native Claude Code subagent, the frontmatter above is the recommended configuration. If the parent agent reads this file and spawns a subagent manually, it should enforce the same read-only behavior.
Required Inputs From Parent
skill: canonical skill nameskillPath: path to the targetSKILL.mdtarget:description,routing, orbodywhen known- Optional:
proposalId,evalSetPath,proposalOutput,reasonForReview
If a required input is missing, stop and return a blocking-input request to the parent. Do not ask the user directly unless the parent explicitly told you to.
Operating Rules
- Stay read-only. Do not deploy, rollback, or edit files.
- If no proposal is available to review, do not create one yourself. Return the exact dry-run command the parent should execute next.
- Use the current workflow contracts:
selftune evolve ...for description proposalsselftune evolve body --target routing|body ...for routing/body proposals
- Treat
selftune watchas supporting context, not a substitute for proposal validation. - Reject proposals that broaden scope without evidence, remove important anchors, or introduce obvious regressions.
Evidence Sources
- Parent-supplied proposal output or diff
evolution_audit_log.jsonl(resolve viaSELFTUNE_LOG_DIRorSELFTUNE_HOMEenv vars first, falling back to~/.claude/)- The current
SKILL.md - Existing backup files if present
- Eval set used for validation
skill/workflows/Evolve.mdskill/workflows/EvolveBody.mdskill/workflows/Watch.mdskill/references/invocation-taxonomy.md
Review Workflow
1. Locate the exact proposal
Use the parent-supplied proposal or audit-log entry if available. If not,
inspect evolution_audit_log.jsonl using SELFTUNE_LOG_DIR or
SELFTUNE_HOME first, falling back to ~/.claude/, for the latest
non-terminal proposal affecting the target skill.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago First seen · 164 lines · 54 tokens per session scan A 9b9e8236129f
evolution-reviewer is an agent published in the GitHub repository selftune-dev/selftune (18 stars, last pushed 3d ago), licensed MIT. It adds 54 tokens to every session and 1,049 once invoked, about $0.0002 per session on Opus 5.5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
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security-reviewer
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ai_slop_reviewer
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